Derivatives | Deep Learning Tutorial 9 (Tensorflow Tutorial, Keras & Python)
Derivatives and partial derivatives are important concepts that we need to understand in order to gain knowledge on how neural network training works. We will be covering error back-propagation algorithm, gradient descent, chaining rule etc in upcoming videos. This video on derivatives and partial derivatives is a pre-requisite for those advanced level videos later. Derivative is very much similar to a slope. But it is a function and used for non linear equations. Slope is a constant and is used for linear equations. At the end of this video I have an exercise for you to solve. Please find derivative for those 6 equations and let me know how many you got right out of 6.
Deep learning playlist: https://www.youtube.com/playlist?list=PLeo1K3hjS3uu7CxAacxVndI4bE_o3BDtO
Machine learning playlist : https://www.youtube.com/playlist?list=PLeo1K3hjS3uvCeTYTeyfe0-rN5r8zn9rw
Prerequisites for this series:
1: Python tutorials (first 16 videos): https://www.youtube.com/playlist?list=PLeo1K3hjS3uv5U-Lmlnucd7gqF-3ehIh0
2: Pandas tutorials(first 8 videos): https://www.youtube.com/playlist?list=PLeo1K3hjS3uuASpe-1LjfG5f14Bnozjwy
3: Machine learning playlist (first 16 videos): https://www.youtube.com/playlist?list=PLeo1K3hjS3uvCeTYTeyfe0-rN5r8zn9rw